WDR1 and CLNK gene polymorphisms correlate with serum glucose and high-density lipoprotein levels in Tibetan gout patients.

Current evidence suggests heredity and metabolic syndrome contributes to gout progression. Specifically, the WDR1 and CLNK genes may play a role in gout progression in European ancestry populations. However, no studies have focused on Chinese populations, especially Tibetan individuals. This study aims to determine whether variations in these two genes correlate with gout-related indices in Chinese-Tibetan gout patients. Eleven single-nucleotide polymorphisms in the WDR1 and CLNK genes were detected in 319 Chinese-Tibetan gout patients and 318 controls. We used one-way analysis of variance to evaluate the polymorphisms' effects on gout based on mean serum levels of metabolism indicators, such as albumin, glucose (GLU), triglycerides, cholesterol, high-density lipoproteins (HDL-C), creatinine, and uric acid, from fasting venous blood samples. All p values were Bonferroni corrected. Polymorphisms of the WDR1 and CLNK genes affected multiple risk factors for gout development. Significant differences in serum GLU levels were detected between different genotypic groups with WDRI polymorphisms rs4604059 (p = 0.005) and rs12498927 (p = 0.005). In addition, significant differences in serum HDL-C levels were detected between different genotypic groups with the CLNK polymorphism rs2041215 (p = 0.001). Polymorphisms of CLNK also affected levels of albumin, triglycerides, and creatinine. This study is the first to investigate and identify positive correlations between WDR1 and CLNK gene polymorphisms in Chinese-Tibetan populations. Our findings provide significant evidence for the effect of genetic polymorphisms on gout-related factors in Chinese-Tibetan populations.

Genetic variations in the CLNK gene and ZNF518B gene are associated with gout in case-control sample sets.

A genome-wide association study of gout in European populations identified 12 genetic variants strongly associated with risk of gout, but it is unknown whether these variants are also associated with gout risk in Chinese populations. A total of 145 patients with gout and 310 healthy control patients were recruited for a case-control association study. Twelve SNPs of CLNK and ZNF518B gene were genotyped, and association analysis was performed. Odds ratios (ORs) with 95 % confidence intervals (CIs) were used to assess the association. Overall, we found four risk alleles for gout in patients: the allele "G" of rs2041215 and rs1686947 in the CLNK gene by dominant model (OR 1.66; 95 % CI 1.04-2.63; p = 0.031) (OR 2.19; 95 % CI 1.38-3.46; p = 0.001) and additive model (OR 1.39; 95 % CI 1.00-1.93; p = 0.049) (OR 1.67; 95 % CI 1.19-2.32; p = 0.003), respectively, and the allele "A" of rs10938799 and rs10016022 in ZNF518B gene by recessive model (OR 4.66; 95 % CI 1.44-15.09; p = 0.008) (OR 4.54; 95 % CI 1.23-16.76; p = 0.020). Further haplotype analysis showed that the TCATTCTGA haplotype of CLNK was more frequent among patients with gout (adjusted OR 0.48; 95 % CI 0.24-0.95; p = 0.036). Additionally, polymorphisms of rs2041215, rs10938799, and rs17467273 were also correlated with clinical pathological parameters. This study provides evidence for gout susceptibility genes, CLNK and ZNF518B, in a Chinese population, which may have potential as diagnostic and prognostic marker for gout patients.

Efficacy of Kushen decoction on high-fat-diet-induced hyperlipidemia in rats.

OBJECTIVE: To investigate the efficacy and underlying mechanisms of action of Kushen decoction on high-fat-diet-induced hyperlipidemia in rats using RNA-seq technology. METHODS: The efficacy of a Kushen decoction, at a concentration of 1 mL/g of crude medicine prepared according to the method commonly used in clinical practice, was investigated on 24 specific pathogen-free male Sprague-Dawley rats. Liver tissues were compared using RNA-Seq technology. The differentially expressed genes were further investigated by real-time fluorescent quantitative polymerase chain reaction (qPCR and Western blot (WB). RESULTS: Serum triglycerides (TG), liver low-density lipoprotein cholesterol (LDL-C), body weight, body length, and Lee's index were significantly increased in the untreated hyperlipidemia-induced group (model) compared with the control group, whereas liver high-density lipoprotein cholesterol (HDL-C) was significantly decreased. Serum TG, liver LDL-C, bodyweight, and Lee's index were decreased in the high-dose Kushen decoction group (HDKS) compared with the model group, whereas liver HDL-C was significantly increased. Similarly, liver TG tended to decline in the HDKS group. Comparison of the gene expression profiles in the livers from different groups indicated that the Kushen decoction significantly affected metabolic pathways, PPAR signalling pathway, and circadian rhythm ( ≤ 0.05), with the genes ARNTL, PER3, and CLOCK being differentially expressed. qPCR and WB analysis confirmed the differential expression of the genes discovered by transcriptomics analysis. CONCLUSION: The Kushen decoction may achieve a lipid-lowering effect on hyperlipidemic rats by regulating metabolic pathways and the circadian rhythm pathway and in particular, their related genes ARNTL, PER3, and CLOCK.

Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics.

BACKGROUND: Integrating systems biology is an approach for investigating metabolic diseases in humans. However, few studies use this approach to investigate the mechanism by which Rhizoma coptidis (RC) reduces the effect of lipids and glucose on high-fat induced obesity in rats. METHODS: Twenty-four specific pathogen-free (SPF) male Sprague-Dawley rats (80 ± 10 g) were used in this study. Serum metabolomics were detected by ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry. Liver tissue and cecum feces were used for RNA-Seq technology and 16S rRNA gene sequencing, respectively. RESULTS: We identified nine potential biomarkers, which are differential metabolites in the Control, Model and RC groups, including linoleic acid, eicosapentaenoic acid, arachidonic acid, stearic acid, and L-Alloisoleucine (p < 0.01). The liver tissue gene expression profile indicated the circadian rhythm pathway was significantly affected by RC (Q ≤ 0.05). A total of 149 and 39 operational taxonomic units (OTUs), which were highly associated with biochemical indicators and potential biomarkers in the cecum samples (FDR ≤ 0.05), respectively, were identified. CONCLUSION: This work provides information to better understand the mechanism of the effect of RC intervention on hyperlipidemia and hypoglycemic effects in obese rats. The present study demonstrates that integrating systems biology may be a powerful tool to reveal the complexity of metabolic diseases in rats intervened by traditional Chinese medicine.

Genetic variation in the ABCG2 gene is associated with gout risk in the Chinese Han population.

Gout is a common type of arthritis that is characterized by hyperuricemia, tophi, and joint inflammation. Current evidence suggests that heredity contributes to the progression of gout. Previous studies have shown that regulation of the ATP-binding cassette subfamily G member 2 (ABCG2) pathways plays a role in gout occurrence. To investigate and validate potential genetic associations with the risk of gout, we conducted a case-control study. We conducted 143 cases and 310 controls and genotyped seven single-nucleotide polymorphisms (SNPs) in ABCG2 gene. ABCG2 SNP association analyses were performed using SPSS 17.0 Statistical Package, PLINK Software, HaploView software package, and SHEsis software platform. We identified that four susceptibility SNPs were potentially associated with occurrence of gout. Rs2622621 and rs3114018 in ABCG2 can actually increase the risk of gout in log-additive model (rs2622621, odds ratio (OR) = 1.90, 95% confidence interval (CI) 1.39-2.61, p < 0.001; rs3114018, OR = 1.55, 95% CI 1.13-2.13, p = 0.006). We found that rs17731799G/T-G/G and rs3114020 T/C-T/T in ABCG2 can actually increase the risk of gout in dominant model (rs17731799, OR = 1.67, 95% CI 1.05-2.66, p = 0.028; rs3114020, OR = 1.58, 95% CI 1.00-2.51, p = 0.048). The ABCG2 haplotype "GGCTCTC" (OR = 0.46, 95% CI 0.28-0.75, p = 0.0019) decreased the gout risk. Our results, combined with those from previous studies, suggest that genetic variation in ABCG2 may influence gout susceptibility in the Han population.

Association of polymorphisms in FLT3, EGFR, ALOX5, and NEIL3 with glioblastoma in the Han Chinese population.

Glioblastoma (GBM) is the highest-grade glioma in astrocytoma. Patients often have poor prognosis due to therapeutic resistance and tumor recurrence. Identification of the genetic factors of GBM could be important contribution to early prevention of this disease. We genotyped 17 tag single-nucleotide polymorphisms (tSNPs) from nine genes in this study, including 72 cases and 302 controls. SNP genotyping was conducted using Sequenom MassARRAY RS1000. Statistical analysis of the association between tSNPs and GBM was performed using the χ (2) test and SNPStats software. The rs3829382 in FLT3 was associated with increased odds of developing GBM using the χ (2) test. When we analyzed tSNPs under different inheritance models, we found rs9642393 in EGFR increased odds of developing GBM in the dominant model. After stratification by gender, we found that rs12645561 in NEIL3 and rs2291427 in ALOX5 were associated with developing GBM. Polymorphisms within FLT3, EGFR, NEIL3, and ALOX5 may contribute to the occurrence of GBM in the Han Chinese population. However, the functional significance of these polymorphisms needs further investigation.